Mayeesha Mahzabin Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

University of Arkansas at Fayetteville

grad_student

1 h-index 3 pubs 3 cited

Research Areas

Network Security and Intrusion Detection Advanced Neural Network Applications Technology Adoption and User Behaviour Data Management Systems Smart City Technologies

Links

ORCID

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OverviewAI-generated summary

Mayeesha Mahzabin's research focuses on the application of machine learning and internet of things (IoT) technologies in diverse areas. Her work includes assessing water quality in smart city environments and developing machine learning models for intrusion detection in database management systems. Mahzabin has also investigated cloud-based infrastructure for post-quantum cryptography side-channel attack analysis. She has collaborated with researchers at the University of Arkansas at Fayetteville, including David Andrews, Miaoqing Huang, Alexander Nelson, and Tristen Teague, contributing to shared publications. Her academic profile includes three publications and three citations, with an h-index of 1.

Metrics

  • h-index: 1
  • Publications: 3
  • Citations: 3

Selected Publications

  • Intrusion Detection in Database Management System Using Machine Learning (2025) DOI
  • Towards Cloud-based Infrastructure for Post-Quantum Cryptography Side-channel Attack Analysis (2023) DOI

Collaborators

Researchers in the database who share publications

David Andrews University of Arkansas at Fayetteville 1 shared publication Miaoqing Huang University of Arkansas at Fayetteville 1 shared publication Alexander Nelson University of Arkansas at Fayetteville 1 shared publication Tristen Teague University of Arkansas at Fayetteville 1 shared publication Sudeep Sharma University of Arkansas at Fayetteville 1 shared publication

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